Aakash Tripathi

According to our database, Aakash Tripathi authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.

Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool

Sensors, March, 2024

Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes.

Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool

CoRR, 2024

SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology.

Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool

CoRR, 2024

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models.

Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool

CoRR, 2024

2023

Transformers in Time-Series Analysis: A Tutorial.

Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool

Circuits Syst. Signal Process., December, 2023

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review.

Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool

CoRR, 2023

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU.

Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023